1 00:00:06,880 --> 00:00:09,280 Speaker 1: So you've got the State of the Union Address tonight 2 00:00:09,480 --> 00:00:14,480 Speaker 1: a stage for messaging, not just policy reporting. Although Donald Trump, 3 00:00:14,560 --> 00:00:18,520 Speaker 1: I'm sure will say that he won affordability, he said 4 00:00:18,520 --> 00:00:20,759 Speaker 1: it was going to be long, and even though he 5 00:00:20,880 --> 00:00:24,959 Speaker 1: said he won affordability, the economy in the cost of 6 00:00:25,040 --> 00:00:27,640 Speaker 1: living is the number one thing that people want to 7 00:00:27,680 --> 00:00:30,640 Speaker 1: hear about tonight in the State of the Union address, 8 00:00:30,720 --> 00:00:34,800 Speaker 1: So economy and jobs most likely on the docket. Immigration, 9 00:00:35,000 --> 00:00:38,720 Speaker 1: border security, probably going to hear about that, energy in 10 00:00:38,840 --> 00:00:43,240 Speaker 1: American First policies. He'll touch on that, and foreign policy. 11 00:00:43,440 --> 00:00:47,760 Speaker 1: I'm guessing he'll mention that even though foreign policy is 12 00:00:47,840 --> 00:00:50,160 Speaker 1: the least thing people want to hear about. 13 00:00:50,320 --> 00:00:53,320 Speaker 2: Yeah, I think Trump is going to mention everything in 14 00:00:53,360 --> 00:00:53,760 Speaker 2: the speech. 15 00:00:54,320 --> 00:00:55,000 Speaker 1: It's going to be long. 16 00:00:55,080 --> 00:00:55,240 Speaker 3: Yeah. 17 00:00:55,280 --> 00:00:57,480 Speaker 2: So normally Trump's State of the Union speech is run 18 00:00:57,520 --> 00:01:00,000 Speaker 2: about now sixty to ninety minutes, and he came out 19 00:01:00,040 --> 00:01:01,520 Speaker 2: yesterday and said this is going to be. 20 00:01:01,440 --> 00:01:02,440 Speaker 3: A long one this year. 21 00:01:02,520 --> 00:01:05,160 Speaker 2: So hold on to your hats, sit down, We're going 22 00:01:05,200 --> 00:01:07,480 Speaker 2: to be here for a while. I'm projecting. I'm saying 23 00:01:07,560 --> 00:01:09,840 Speaker 2: the over under on the length of Trump's State of 24 00:01:09,840 --> 00:01:13,039 Speaker 2: the Union speech tonight, right at two hours. I'm still 25 00:01:13,080 --> 00:01:14,920 Speaker 2: taking the over on that. I think he's going to 26 00:01:14,959 --> 00:01:16,400 Speaker 2: exceed a two hour speech tonight. 27 00:01:16,480 --> 00:01:18,960 Speaker 1: You've got a lot of Democrats who say they plan 28 00:01:19,080 --> 00:01:22,720 Speaker 1: to skip the State of the Union address and so 29 00:01:23,400 --> 00:01:28,800 Speaker 1: what they're just not going to show up performative Hello, well, yeah, 30 00:01:29,040 --> 00:01:30,520 Speaker 1: do your job, that's part of the gig. 31 00:01:30,560 --> 00:01:34,280 Speaker 2: Look, there's nothing liberals love more than virtue signaling. They 32 00:01:34,319 --> 00:01:36,360 Speaker 2: really don't care about these issues. They tell you they 33 00:01:36,400 --> 00:01:38,560 Speaker 2: care about these issues, but it's just so that they 34 00:01:38,560 --> 00:01:41,119 Speaker 2: can tell you how caring they are and how these 35 00:01:41,160 --> 00:01:42,480 Speaker 2: issues are so important to them. 36 00:01:42,520 --> 00:01:43,119 Speaker 3: They're not really. 37 00:01:43,160 --> 00:01:45,959 Speaker 2: They're all about putting pronouns in their bio, about changing 38 00:01:46,000 --> 00:01:49,640 Speaker 2: their picture on Twitter to represent whatever flag of whatever 39 00:01:49,680 --> 00:01:52,400 Speaker 2: a pressed country we're supposed to be supporting this week. 40 00:01:52,600 --> 00:01:55,400 Speaker 2: It is all performative. It is all virtue signaling. And 41 00:01:55,440 --> 00:01:57,600 Speaker 2: the fact that you're going to have a huge amounts, 42 00:01:58,240 --> 00:02:01,320 Speaker 2: huge amount of Democrats that are bored boycotting the State 43 00:02:01,360 --> 00:02:04,400 Speaker 2: of the Union tonight, again more virtue signaling. 44 00:02:04,480 --> 00:02:06,080 Speaker 1: Now, what would happen to you if you didn't show 45 00:02:06,160 --> 00:02:06,840 Speaker 1: up for your job? 46 00:02:07,400 --> 00:02:11,240 Speaker 2: WHOA they would invite me to not come into work anymore, 47 00:02:11,280 --> 00:02:12,680 Speaker 2: also known as firing. 48 00:02:12,760 --> 00:02:15,360 Speaker 1: Yeah, sure, right, But these people, they can just skip 49 00:02:15,400 --> 00:02:17,480 Speaker 1: out on a meeting, and that's just going to give 50 00:02:17,840 --> 00:02:20,200 Speaker 1: more room to the US men's hockey team. By the way, 51 00:02:20,200 --> 00:02:22,680 Speaker 1: did you see the party they had last night, the 52 00:02:22,800 --> 00:02:27,120 Speaker 1: US men's hockey team. It was in Miami. The cost 53 00:02:27,240 --> 00:02:30,120 Speaker 1: to get in is that like a cover charge just 54 00:02:30,160 --> 00:02:33,200 Speaker 1: to get into the bar? Yes, five hundred and forty 55 00:02:33,240 --> 00:02:36,920 Speaker 1: three dollars to celebrate the gold with the men's hockey team. 56 00:02:37,040 --> 00:02:37,239 Speaker 3: Yeah. 57 00:02:37,280 --> 00:02:40,240 Speaker 2: Eleven is one of the big hot night clubs down 58 00:02:40,280 --> 00:02:42,359 Speaker 2: on South Beach in Miami. It's where the Super Bowl 59 00:02:42,400 --> 00:02:44,680 Speaker 2: winners partied this year. There were a lot of social 60 00:02:44,720 --> 00:02:48,639 Speaker 2: media posts there. USA men's hockey team were there last night. Hey, 61 00:02:48,800 --> 00:02:50,760 Speaker 2: they looked like they were having a good time. And 62 00:02:50,840 --> 00:02:54,400 Speaker 2: for five hundred bucks ahead at cover charging the door better, 63 00:02:54,560 --> 00:02:56,720 Speaker 2: it better be a good time. But yeah, there's great 64 00:02:56,800 --> 00:02:59,880 Speaker 2: videos on social media of them, you know, drinking sham, 65 00:03:00,080 --> 00:03:02,640 Speaker 2: paying straight from the bottle and singing the national anthem 66 00:03:02,680 --> 00:03:04,840 Speaker 2: and singing songs and I'll party in and having a 67 00:03:04,840 --> 00:03:07,560 Speaker 2: good time. I'm all for it. They earned every bit 68 00:03:07,600 --> 00:03:07,760 Speaker 2: of that. 69 00:03:08,120 --> 00:03:11,680 Speaker 1: So You've got Trump's approval ratings as he goes into 70 00:03:11,720 --> 00:03:15,640 Speaker 1: the State of the Union address, and overall they're sitting 71 00:03:15,720 --> 00:03:19,359 Speaker 1: between thirty six and forty percent disapproval in the mid 72 00:03:19,400 --> 00:03:23,919 Speaker 1: fifties to the sixty range, one of the lowest points 73 00:03:24,000 --> 00:03:29,640 Speaker 1: of his presidency. However, in Indiana, he's actually doing better 74 00:03:29,680 --> 00:03:31,640 Speaker 1: in Indiana than he does nationwide. 75 00:03:31,720 --> 00:03:34,440 Speaker 2: He's doing great in Indiana, and there's a variety of poles. 76 00:03:34,520 --> 00:03:37,200 Speaker 2: Indie Stars got a great article on their website out 77 00:03:37,200 --> 00:03:39,160 Speaker 2: today about it. And so in one pool, he's a 78 00:03:39,240 --> 00:03:41,960 Speaker 2: poll he's at a forty nine percent approval rating and 79 00:03:42,040 --> 00:03:45,680 Speaker 2: another one of forty eight percent approval rating. What is 80 00:03:45,760 --> 00:03:49,520 Speaker 2: so surprising about this? So contrast that with what we 81 00:03:49,560 --> 00:03:53,080 Speaker 2: talked about earlier, which were Mike Braun's discovernment rating. The 82 00:03:53,120 --> 00:03:56,280 Speaker 2: governor's approval rating in the most recent poll came in 83 00:03:56,320 --> 00:04:01,080 Speaker 2: at twenty five percent. Look at that massive disc Well, some. 84 00:04:01,320 --> 00:04:04,200 Speaker 1: State level trackers have Trump's approval rating at forty nine 85 00:04:04,240 --> 00:04:08,320 Speaker 1: percent in Indiana, and Mike Broun's latest was at twenty 86 00:04:09,000 --> 00:04:09,880 Speaker 1: twenty five percent. 87 00:04:09,960 --> 00:04:12,160 Speaker 2: So you can sit here and say, and you know, 88 00:04:12,240 --> 00:04:14,160 Speaker 2: keep in mind polls, a lot of people, if you're 89 00:04:14,160 --> 00:04:16,600 Speaker 2: a Republican, you're just gonna you know, say that you 90 00:04:16,640 --> 00:04:17,800 Speaker 2: approve of the Republicans. 91 00:04:18,040 --> 00:04:19,240 Speaker 3: Not in this specific case. 92 00:04:19,279 --> 00:04:22,760 Speaker 2: I mean that is a huge difference with Trump right 93 00:04:22,760 --> 00:04:25,160 Speaker 2: at fifty percent or close to it and Braun at 94 00:04:25,160 --> 00:04:28,880 Speaker 2: twenty five percent. Clearly there is a disconnect, despite the 95 00:04:28,920 --> 00:04:32,080 Speaker 2: fact that Braun has tied himself to Trump's hip for 96 00:04:32,120 --> 00:04:34,480 Speaker 2: the last year since he got into that governor's office. 97 00:04:34,480 --> 00:04:37,919 Speaker 2: Despite that, Braun has a twenty five percent approval rating 98 00:04:37,960 --> 00:04:40,400 Speaker 2: in Indiana and Trump has nearly fifty percent. 99 00:04:40,560 --> 00:04:43,440 Speaker 1: So Trump's approval rating being down doesn't mean he's out 100 00:04:43,440 --> 00:04:47,320 Speaker 1: of the game, obviously, it means that Republicans can't take 101 00:04:47,760 --> 00:04:51,839 Speaker 1: voters for granted. You have what was his name, where's 102 00:04:51,839 --> 00:04:56,640 Speaker 1: he at? Oh Blake Fightcher. Yeah, he was a Republican 103 00:04:56,680 --> 00:05:00,160 Speaker 1: primary challenger who was endorsed by Donald Trump and and 104 00:05:00,400 --> 00:05:05,200 Speaker 1: he ended his campaign in District nineteen. He said that 105 00:05:05,839 --> 00:05:10,360 Speaker 1: he didn't have enough people. The district was large, and 106 00:05:10,400 --> 00:05:13,160 Speaker 1: he didn't have enough day to day help staff or 107 00:05:13,279 --> 00:05:16,640 Speaker 1: money to get him completely organized. If you don't know 108 00:05:16,640 --> 00:05:19,520 Speaker 1: how big your district is, maybe don't run there. 109 00:05:19,720 --> 00:05:19,920 Speaker 3: Yeah. 110 00:05:19,960 --> 00:05:23,159 Speaker 2: I was really surprised that Trump came out and endorsed 111 00:05:23,160 --> 00:05:23,520 Speaker 2: this guy. 112 00:05:23,839 --> 00:05:25,520 Speaker 3: This is the problem with all of it. We talked 113 00:05:25,560 --> 00:05:27,560 Speaker 3: about this during the redistricting fight. 114 00:05:27,600 --> 00:05:31,279 Speaker 2: And how people like TPUSA and you know, national social 115 00:05:31,360 --> 00:05:34,760 Speaker 2: media influencers and people from Washington. They were so upset 116 00:05:34,800 --> 00:05:37,599 Speaker 2: that Indiana didn't redistrict here, and they came out against 117 00:05:37,600 --> 00:05:40,960 Speaker 2: the Republicans and the cry was primary, all of them, Primary, 118 00:05:41,000 --> 00:05:43,080 Speaker 2: every single one of them. And we sat here right 119 00:05:43,120 --> 00:05:45,719 Speaker 2: in the studio and talked about that is a lot 120 00:05:45,760 --> 00:05:48,320 Speaker 2: harder than what it sounds like. You've got to raise 121 00:05:48,360 --> 00:05:51,560 Speaker 2: an incredible amount of money. Every one of those politicians 122 00:05:51,680 --> 00:05:54,360 Speaker 2: at the Indiana State House right now, each one of 123 00:05:54,400 --> 00:05:58,600 Speaker 2: them are extraordinarily connected into their communities. They're part of 124 00:05:58,640 --> 00:06:01,640 Speaker 2: their communities. They're connected there. They're very connected to the 125 00:06:01,680 --> 00:06:05,520 Speaker 2: local party leadership structure, usually it's the county GOP. They're 126 00:06:05,640 --> 00:06:09,360 Speaker 2: very connected to the fundraising mechanisms. They know how running 127 00:06:09,400 --> 00:06:11,520 Speaker 2: for office works. And then you've got this guy like 128 00:06:11,600 --> 00:06:15,880 Speaker 2: Blake Fightcher, which again based on his comments, seemed to 129 00:06:16,200 --> 00:06:19,160 Speaker 2: believe that the district he was running in was surprised 130 00:06:19,240 --> 00:06:21,440 Speaker 2: that it was bigger than just parts of Allen County 131 00:06:21,480 --> 00:06:24,479 Speaker 2: near Fort Wayne thought, and that you might have to 132 00:06:24,600 --> 00:06:27,760 Speaker 2: hire some people and bring on some help to run 133 00:06:27,800 --> 00:06:30,040 Speaker 2: a campaign. So when all of those people last year 134 00:06:30,080 --> 00:06:33,320 Speaker 2: Alega Primary, every single one of these Republicans didn't vote 135 00:06:33,360 --> 00:06:34,120 Speaker 2: for redistricting. 136 00:06:34,440 --> 00:06:35,800 Speaker 3: This is typically what you get. 137 00:06:35,839 --> 00:06:38,320 Speaker 2: And despite the fact that he got an endorsement from 138 00:06:38,320 --> 00:06:40,159 Speaker 2: Donald Trump, it shows. 139 00:06:39,880 --> 00:06:43,240 Speaker 1: You that endorsements on their own aren't enough to win. Well, 140 00:06:43,279 --> 00:06:45,440 Speaker 1: you're gonna have to have some ground game. You're gonna 141 00:06:45,440 --> 00:06:47,200 Speaker 1: have to organize, oh and money. 142 00:06:47,640 --> 00:06:50,880 Speaker 2: But by the way, you have to find good candidates. 143 00:06:50,880 --> 00:06:53,360 Speaker 2: You can't throw an empty suit up there and slap 144 00:06:53,360 --> 00:06:56,080 Speaker 2: a Donald Trump endorsement on his back and expect them 145 00:06:56,120 --> 00:06:58,400 Speaker 2: to be able to win a primary in a hotly 146 00:06:58,480 --> 00:07:03,200 Speaker 2: contested against a strong incumbent. 147 00:07:03,640 --> 00:07:05,599 Speaker 3: It's not easy finding these people. 148 00:07:05,640 --> 00:07:08,159 Speaker 2: And so when Trump endorsed this Blake Fighter, the guy 149 00:07:08,200 --> 00:07:10,360 Speaker 2: didn't realize what it took to run a campaign. 150 00:07:10,440 --> 00:07:12,360 Speaker 3: And now he's out. He's like, I can't take this 151 00:07:12,440 --> 00:07:13,280 Speaker 3: no more. I'm out. 152 00:07:14,720 --> 00:07:16,600 Speaker 1: So I guess that means we're gonna have Travis Holdman 153 00:07:16,640 --> 00:07:17,760 Speaker 1: around a little bit. 154 00:07:17,720 --> 00:07:19,760 Speaker 2: Well, or else they're going to have to find somebody 155 00:07:19,840 --> 00:07:22,560 Speaker 2: else that wants to run for Although the deadline's already passed, 156 00:07:22,560 --> 00:07:24,880 Speaker 2: the deadline to be part of the primary's already passed, 157 00:07:24,880 --> 00:07:27,520 Speaker 2: so it looks like Travis Holdman and now Blake Fighter's 158 00:07:27,600 --> 00:07:30,080 Speaker 2: name will still be on the ballot even though he's 159 00:07:30,120 --> 00:07:32,160 Speaker 2: dropped out of the race. His name will still be 160 00:07:32,200 --> 00:07:34,640 Speaker 2: on the ballot, but looks like Senator Travis Holdman is 161 00:07:34,720 --> 00:07:36,920 Speaker 2: pretty safe in the May fifth GOP primary. 162 00:07:37,040 --> 00:07:39,440 Speaker 1: So you've got the travel warning that has been issued 163 00:07:39,480 --> 00:07:42,520 Speaker 1: for Mexico. So does that mean that you should cancel 164 00:07:42,600 --> 00:07:47,040 Speaker 1: your holiday? Yes, yes it does. Yes, let's answer that 165 00:07:47,200 --> 00:07:48,280 Speaker 1: quickly and easily. 166 00:07:48,520 --> 00:07:51,240 Speaker 3: Well, would you have let's say you should you remember 167 00:07:51,400 --> 00:07:51,800 Speaker 3: go there? 168 00:07:51,920 --> 00:07:56,480 Speaker 2: You remember in twenty fourteen when Russia annexed Crimea, if 169 00:07:56,480 --> 00:07:59,120 Speaker 2: you had had a trip to Ukraine plan, then do 170 00:07:59,160 --> 00:07:59,600 Speaker 2: you think. 171 00:07:59,480 --> 00:07:59,960 Speaker 3: It would have came? 172 00:08:00,480 --> 00:08:00,640 Speaker 1: No? 173 00:08:00,880 --> 00:08:03,360 Speaker 2: It was a potential war zone and a disasters. I 174 00:08:03,520 --> 00:08:06,440 Speaker 2: mentioned that specifically. I don't know if you remember this casey, Yes, 175 00:08:06,840 --> 00:08:10,040 Speaker 2: I do remember. I had an opportunity to go to 176 00:08:10,280 --> 00:08:14,480 Speaker 2: Ukraine as part of a State Department program and they 177 00:08:14,520 --> 00:08:14,920 Speaker 2: asked me. 178 00:08:14,960 --> 00:08:16,960 Speaker 3: It came to me and said, hey, we really don't I. 179 00:08:16,880 --> 00:08:19,239 Speaker 1: Wanted you to go and work on their radio stations. 180 00:08:19,440 --> 00:08:20,360 Speaker 3: Yeah, they didation that. 181 00:08:20,440 --> 00:08:23,280 Speaker 2: They had State Department program where there was this sharing 182 00:08:23,320 --> 00:08:26,200 Speaker 2: about how to create radio and television stations in Ukraine 183 00:08:26,200 --> 00:08:27,680 Speaker 2: because they were really bad at it, and so they 184 00:08:27,680 --> 00:08:30,840 Speaker 2: would send media professionals from the United States over to 185 00:08:30,920 --> 00:08:33,559 Speaker 2: Ukraine for about a month and teach them on how 186 00:08:33,600 --> 00:08:35,880 Speaker 2: to run media companies. And the State Department reached out 187 00:08:35,920 --> 00:08:37,520 Speaker 2: to me and said, hey, we'd really like you to 188 00:08:37,520 --> 00:08:38,400 Speaker 2: be part of this, And I. 189 00:08:38,320 --> 00:08:40,000 Speaker 3: Was like, are you kidding me? 190 00:08:40,520 --> 00:08:43,840 Speaker 2: Russia just annexed part of their country a month ago. 191 00:08:44,200 --> 00:08:48,080 Speaker 2: There's a war brewing in that country. No, I'm not 192 00:08:48,160 --> 00:08:50,679 Speaker 2: going to Ukraine. So yeah, if you've got a trip 193 00:08:50,720 --> 00:08:55,000 Speaker 2: planned to Mexico, whether it's business or pleasure. 194 00:08:54,760 --> 00:08:56,840 Speaker 3: Kind of seems like things may not be on the 195 00:08:56,920 --> 00:08:57,360 Speaker 3: up and up. 196 00:08:57,400 --> 00:09:00,160 Speaker 2: I don't know when I see a country where some 197 00:09:00,200 --> 00:09:04,840 Speaker 2: of their most popular vacation resort cities are literally on fire, 198 00:09:05,520 --> 00:09:08,559 Speaker 2: houses and buses burning. And by the way, the cartels 199 00:09:08,600 --> 00:09:11,520 Speaker 2: have set up a blockade around the city of Port 200 00:09:11,520 --> 00:09:12,000 Speaker 2: of Iarta. 201 00:09:12,040 --> 00:09:13,760 Speaker 3: They're not letting anybody in or out. 202 00:09:13,840 --> 00:09:17,320 Speaker 2: So obviously the Mexican government and military doesn't have a 203 00:09:17,320 --> 00:09:20,559 Speaker 2: good handle on the situation because the cartels have a blockade. 204 00:09:20,720 --> 00:09:21,920 Speaker 3: Yes, I'm gonna say those. 205 00:09:21,800 --> 00:09:24,160 Speaker 2: Are all key triggers for me to not take a 206 00:09:24,240 --> 00:09:25,200 Speaker 2: vacation to Mexico. 207 00:09:25,360 --> 00:09:25,560 Speaker 3: Yeah. 208 00:09:25,600 --> 00:09:29,560 Speaker 1: So the violence has caused roadblocks, burning vehicles, disruptions. You've 209 00:09:29,559 --> 00:09:33,959 Speaker 1: got parts of Jalisco and Port of Iarta and Guadalajara 210 00:09:34,040 --> 00:09:39,000 Speaker 1: all in a horrible situation, a lot of unrest. One 211 00:09:39,040 --> 00:09:42,400 Speaker 1: thing I wanted to mention about your potential trip to 212 00:09:42,440 --> 00:09:44,319 Speaker 1: the Ukraine that you may have had. 213 00:09:44,240 --> 00:09:45,960 Speaker 3: That I was offered to go on ten years. 214 00:09:46,040 --> 00:09:48,560 Speaker 1: I can remember you saying, oh, you should totally go 215 00:09:48,640 --> 00:09:51,520 Speaker 1: to that you did at the time, I was like, no, 216 00:09:52,040 --> 00:09:54,920 Speaker 1: I think that Russia just took half their country. 217 00:09:54,880 --> 00:09:56,960 Speaker 2: And I think that people are talking about, you know, 218 00:09:57,320 --> 00:09:59,640 Speaker 2: tensions brewing there and there might be a problem. 219 00:09:59,679 --> 00:10:01,640 Speaker 3: I think I might sit this one out. It would 220 00:10:01,679 --> 00:10:05,040 Speaker 3: have been cool, It would have been cool ish. 221 00:10:05,480 --> 00:10:07,800 Speaker 1: Maybe you no. 222 00:10:07,440 --> 00:10:09,640 Speaker 2: No, And I don't know if that State Department program 223 00:10:09,679 --> 00:10:12,760 Speaker 2: still exists, maybe still offering to send people over to you. 224 00:10:13,000 --> 00:10:14,760 Speaker 2: I kind of doubt it with things going on there 225 00:10:14,840 --> 00:10:17,320 Speaker 2: right now. But the same thing in Mexico. Probably not 226 00:10:17,400 --> 00:10:19,800 Speaker 2: the smartest move to take a vacation in Mexico. 227 00:10:20,080 --> 00:10:23,800 Speaker 1: Here's this woman, she's in Portavarta, and she says common 228 00:10:23,880 --> 00:10:27,720 Speaker 1: sense says, it's not safe, cancel your vacation. 229 00:10:27,960 --> 00:10:30,640 Speaker 4: Going to be in what your upcoming vacation to Porto 230 00:10:30,760 --> 00:10:33,800 Speaker 4: Layarta is the least of my concerns right now. The 231 00:10:33,920 --> 00:10:36,439 Speaker 4: amount of DMS I've received about Hey, I'm supposed to 232 00:10:36,440 --> 00:10:39,520 Speaker 4: play in tomorrow. Is it safe? Read the room, Susan. 233 00:10:39,960 --> 00:10:42,280 Speaker 4: We're in the middle of a war zone. Businesses are 234 00:10:42,280 --> 00:10:45,240 Speaker 4: burnt down, cars are in flames. Our city is literally 235 00:10:45,400 --> 00:10:49,199 Speaker 4: still burning. As you're typing your DM about your upcoming vacation. 236 00:10:49,600 --> 00:10:52,680 Speaker 4: Promise you there's bigger losses in the world in Porto Layerca, 237 00:10:52,679 --> 00:10:55,640 Speaker 4: specifically right now than that twelve hundred dollars plane ticket 238 00:10:56,080 --> 00:10:58,199 Speaker 4: or two thousand dollars that we have spent for the hotel. 239 00:10:58,640 --> 00:11:00,680 Speaker 1: We're lockdown in a war zone. 240 00:11:00,880 --> 00:11:03,680 Speaker 4: It's no, it's not safe nowhere in COG school's probably 241 00:11:03,679 --> 00:11:04,280 Speaker 4: safe right now. 242 00:11:04,360 --> 00:11:06,720 Speaker 1: Like read the room, pick up the news. 243 00:11:07,200 --> 00:11:10,160 Speaker 4: I just can't believe how insensitive some Americans are right now. 244 00:11:10,280 --> 00:11:13,880 Speaker 4: Just focus on their vacations when we're literally burning, We're 245 00:11:13,920 --> 00:11:14,839 Speaker 4: burning our city. 246 00:11:14,920 --> 00:11:16,880 Speaker 1: Have you people to feel bad for her now at 247 00:11:16,880 --> 00:11:21,640 Speaker 1: this point? So yeah, canceling might might be the best option. 248 00:11:21,760 --> 00:11:24,920 Speaker 2: I can't believe how insensitive some Americans are right now. 249 00:11:24,960 --> 00:11:25,840 Speaker 3: Yeah, based on all. 250 00:11:25,760 --> 00:11:28,720 Speaker 2: Those social media videos that we played earlier in the show, 251 00:11:28,840 --> 00:11:30,240 Speaker 2: I have no trouble believing that. 252 00:11:31,120 --> 00:11:34,880 Speaker 1: I can't believe how insensitive some people are bringing fentanyl 253 00:11:34,880 --> 00:11:36,520 Speaker 1: into our country right that. 254 00:11:36,760 --> 00:11:40,920 Speaker 2: Or trafficking underage children into our country, or you know, 255 00:11:41,000 --> 00:11:44,920 Speaker 2: trafficking in from our country, criminals and murders into our country. 256 00:11:45,000 --> 00:11:46,559 Speaker 3: Yeah, all of those things are shocking. 257 00:11:46,800 --> 00:11:51,199 Speaker 1: Okay, So there is a new declassified CIA file and 258 00:11:51,559 --> 00:11:55,959 Speaker 1: it shows that there was a blueprint to manipulate Americans' 259 00:11:56,080 --> 00:12:01,439 Speaker 1: minds and this was all done through covert drugging with vaccines. 260 00:12:01,640 --> 00:12:06,079 Speaker 1: It was called Project Art a Choke and it happened 261 00:12:06,080 --> 00:12:09,920 Speaker 1: in the early nineteen fifties, and the research shows that 262 00:12:10,000 --> 00:12:14,680 Speaker 1: it was ways to control and influence human behavior. One 263 00:12:14,720 --> 00:12:19,640 Speaker 1: of the declassified CIA memos actually says, can we get 264 00:12:19,679 --> 00:12:23,080 Speaker 1: control of an individual to the point where he will 265 00:12:23,080 --> 00:12:26,200 Speaker 1: do our bidding against his will? 266 00:12:26,480 --> 00:12:26,800 Speaker 3: You know what? 267 00:12:26,880 --> 00:12:29,160 Speaker 1: Now find in any of that hard to believe? Sounds 268 00:12:29,160 --> 00:12:30,240 Speaker 1: like CIA stuff to. 269 00:12:30,160 --> 00:12:34,560 Speaker 2: Make Conspiracy theorists have been unfairly maligned for decades in 270 00:12:34,640 --> 00:12:37,000 Speaker 2: this country. But now that there's you know, we get 271 00:12:37,160 --> 00:12:39,280 Speaker 2: more information that comes out about these things, and you 272 00:12:39,280 --> 00:12:40,840 Speaker 2: may say to yourself, well, this sounds a lot like 273 00:12:41,600 --> 00:12:45,880 Speaker 2: mk Ultra, the the other project that the CIA had 274 00:12:45,920 --> 00:12:48,160 Speaker 2: going on at the same time. Yeah, it was very similar. 275 00:12:48,360 --> 00:12:51,120 Speaker 2: This Project Art to Choke was trying to take over 276 00:12:51,160 --> 00:12:54,600 Speaker 2: people's minds by giving them vaccines. Mk Ultra was trying 277 00:12:54,600 --> 00:12:57,320 Speaker 2: to take over their minds by giving them LSD. Both 278 00:12:57,360 --> 00:12:59,400 Speaker 2: seemed to be running concurrently in the same time. 279 00:12:59,440 --> 00:13:01,280 Speaker 1: Back in the fifth YEP, they'd used a lot of 280 00:13:01,320 --> 00:13:06,040 Speaker 1: drugs like LSD and morphine and mescaline and other psychoactive chemicals, 281 00:13:06,120 --> 00:13:09,160 Speaker 1: and what they were trying to do was create vulnerability, 282 00:13:09,480 --> 00:13:14,960 Speaker 1: amnesia and other things. And I came across this from 283 00:13:15,240 --> 00:13:18,680 Speaker 1: Claus fob You know who that guy, Yeah. 284 00:13:18,480 --> 00:13:21,439 Speaker 2: The German guy that was in charge of the World 285 00:13:21,480 --> 00:13:22,560 Speaker 2: Economic Forum WEB. 286 00:13:22,760 --> 00:13:27,280 Speaker 1: Yeah, the WEB guy. And here is his latest message. 287 00:13:27,600 --> 00:13:31,600 Speaker 1: After we've moved beyond COVID nineteen, this is the next 288 00:13:31,600 --> 00:13:32,439 Speaker 1: thing in his mind. 289 00:13:33,080 --> 00:13:38,640 Speaker 5: I see a tremendous effort in terms of rallying now 290 00:13:38,840 --> 00:13:44,000 Speaker 5: behind and net zero, not only governments but business. We 291 00:13:44,080 --> 00:13:46,880 Speaker 5: have a number of initiatives such a World Economic Forum 292 00:13:47,360 --> 00:13:53,000 Speaker 5: for example, we work sector bisector how to decobinize those industries. 293 00:13:53,679 --> 00:13:59,079 Speaker 5: So it is an awareness. Now generally it's generally accepted 294 00:14:00,679 --> 00:14:03,720 Speaker 5: climate change. If we do not techlis, it could be 295 00:14:03,920 --> 00:14:08,240 Speaker 5: the next peak. Let's say, virus who is much more 296 00:14:08,280 --> 00:14:13,600 Speaker 5: damaging and long term consequences compared to COVID nineteen. 297 00:14:13,720 --> 00:14:17,960 Speaker 1: Many people still dealing with effects of COVID nineteen. But 298 00:14:18,240 --> 00:14:20,240 Speaker 1: that's what you should be on the lookout for. All 299 00:14:20,240 --> 00:14:21,760 Speaker 1: the climate change conversation, right. 300 00:14:21,800 --> 00:14:24,400 Speaker 2: That's the most important thing that zero. It's almost like 301 00:14:24,440 --> 00:14:27,560 Speaker 2: they're not listening to anything. Trump and Vans and Rubio 302 00:14:27,640 --> 00:14:29,720 Speaker 2: have said as they've gone over to Europe this last 303 00:14:29,800 --> 00:14:33,680 Speaker 2: year and talked about how literally Europe is on a 304 00:14:33,720 --> 00:14:37,160 Speaker 2: suicide pact right now. They're like de industrialize their whole country, 305 00:14:37,360 --> 00:14:40,800 Speaker 2: have massive immigration coming in, and these immigrants aren't assimilating 306 00:14:40,800 --> 00:14:43,120 Speaker 2: to your culture. And oh, by the way, we're going 307 00:14:43,200 --> 00:14:45,160 Speaker 2: to focus on the most important thing in the world. 308 00:14:45,600 --> 00:14:48,520 Speaker 1: Well, he's saying climate change. Climate change is the next 309 00:14:48,560 --> 00:14:49,720 Speaker 1: big and he said the. 310 00:14:49,680 --> 00:14:52,720 Speaker 3: Word by virus. Just like COVID nineteen. 311 00:14:53,240 --> 00:15:00,560 Speaker 1: You're listening to ninety three WYBC. The next time you 312 00:15:00,600 --> 00:15:02,520 Speaker 1: go out to eat of the restaurant, you might find 313 00:15:02,520 --> 00:15:06,320 Speaker 1: that your server is using a little psychology on you. 314 00:15:06,800 --> 00:15:09,800 Speaker 1: Most people want to tip fairly if they've had good service, 315 00:15:10,440 --> 00:15:13,240 Speaker 1: but they don't always know what is expected, Like, right, 316 00:15:13,480 --> 00:15:16,400 Speaker 1: you know, do I do fifteen? Do I do twenty? Yeah, 317 00:15:16,440 --> 00:15:20,200 Speaker 1: there's a new thing that a server at Denny's has 318 00:15:20,240 --> 00:15:23,840 Speaker 1: started doing a little trick and this is to increase 319 00:15:23,920 --> 00:15:28,480 Speaker 1: tips from his customers. Instead of just writing one suggested 320 00:15:28,560 --> 00:15:32,760 Speaker 1: tip amount on the check, he's listing multiple tipping options 321 00:15:32,800 --> 00:15:36,520 Speaker 1: like eighteen, twenty or twenty two percent and giving his 322 00:15:36,760 --> 00:15:43,200 Speaker 1: customer the choice. And what this does is typically the 323 00:15:43,240 --> 00:15:47,480 Speaker 1: customer chooses the bigger option, So now the server is 324 00:15:47,520 --> 00:15:48,440 Speaker 1: getting the bigger tip. 325 00:15:48,880 --> 00:15:52,360 Speaker 2: Yeah, a little psychological manipulation there. And we see this 326 00:15:52,400 --> 00:15:55,200 Speaker 2: too when you, you know, when you go to you know, 327 00:15:55,240 --> 00:15:57,600 Speaker 2: tap or insert your card when you're paying for something 328 00:15:57,640 --> 00:16:00,200 Speaker 2: like at Starbucks, it'll give you three tip options there. 329 00:16:00,200 --> 00:16:02,040 Speaker 2: Do you want to tip a dollar, three dollars or 330 00:16:02,040 --> 00:16:05,040 Speaker 2: five dollars? This is just the real life version of 331 00:16:05,080 --> 00:16:07,880 Speaker 2: doing that, as opposed to the on screen automated version 332 00:16:07,880 --> 00:16:08,440 Speaker 2: of doing that. 333 00:16:08,640 --> 00:16:11,320 Speaker 1: According to the server, a lot of customers, they say 334 00:16:11,320 --> 00:16:14,560 Speaker 1: they appreciate the guidance and tip more because it feels 335 00:16:14,680 --> 00:16:18,680 Speaker 1: helpful rather than pushy. Do you find that helpful? I mean, 336 00:16:18,880 --> 00:16:20,720 Speaker 1: it's when the math has already done for you. 337 00:16:20,920 --> 00:16:22,720 Speaker 2: I do find it helpful when the math is already 338 00:16:22,720 --> 00:16:24,960 Speaker 2: done for me and I But this was the interesting 339 00:16:25,000 --> 00:16:27,680 Speaker 2: part of this article because it also talked about again. 340 00:16:27,840 --> 00:16:30,200 Speaker 2: This is a story about how this customer had a 341 00:16:30,240 --> 00:16:34,000 Speaker 2: fifty five dollars bill, and he told the silver server, 342 00:16:34,120 --> 00:16:36,160 Speaker 2: it just round it up to seventy bucks. That's a 343 00:16:36,160 --> 00:16:38,760 Speaker 2: pretty good tip. That's almost thirty percent. But here's what 344 00:16:38,800 --> 00:16:42,760 Speaker 2: the server did, because when the customer got their receipt afterwards, 345 00:16:42,800 --> 00:16:44,760 Speaker 2: they could see it all on there. What the server 346 00:16:44,880 --> 00:16:50,400 Speaker 2: did was applied his employee discount to the tip so 347 00:16:51,080 --> 00:16:53,520 Speaker 2: that the tip would actually be bigger because the keep 348 00:16:53,560 --> 00:16:55,680 Speaker 2: in mind here you follow me here was fifty five dollars, 349 00:16:55,960 --> 00:16:57,600 Speaker 2: and the customer said, I'll just round it up to 350 00:16:57,600 --> 00:16:59,520 Speaker 2: seventy bucks and that'll be the tip. So the server 351 00:16:59,560 --> 00:17:03,280 Speaker 2: went and prossed it, applied he's his employee discount, which 352 00:17:03,360 --> 00:17:07,080 Speaker 2: took another fourteen dollars off of the bill, but he 353 00:17:07,160 --> 00:17:08,840 Speaker 2: still rounded it up to seventy. 354 00:17:08,520 --> 00:17:11,040 Speaker 1: Dollars dollars, which now that I have a bit of. 355 00:17:11,040 --> 00:17:13,640 Speaker 2: A problem with, because starters for starters. The guy's given 356 00:17:13,680 --> 00:17:16,800 Speaker 2: a near thirty percent tip on this pretty darn good 357 00:17:16,840 --> 00:17:20,280 Speaker 2: tip on that. But then, rather than doing something to 358 00:17:20,320 --> 00:17:23,600 Speaker 2: show appreciation, yeah, rather than doing something to show appreciation 359 00:17:23,760 --> 00:17:26,800 Speaker 2: to that customer, he went back and applied his employee 360 00:17:26,800 --> 00:17:29,920 Speaker 2: discount to the customer's food bill so that he could 361 00:17:29,960 --> 00:17:32,840 Speaker 2: get an additional fourteen dollars tip on top of that. 362 00:17:32,920 --> 00:17:34,800 Speaker 3: At the very least, if you're going to do that, 363 00:17:35,040 --> 00:17:36,800 Speaker 3: I think you got to split the difference with the 364 00:17:36,840 --> 00:17:38,120 Speaker 3: customer there. That one. 365 00:17:38,200 --> 00:17:41,159 Speaker 1: There are some cities that will automatically add the tip 366 00:17:42,320 --> 00:17:44,399 Speaker 1: at the bottom of the receipt. So typically if you 367 00:17:44,400 --> 00:17:46,600 Speaker 1: don't notice it and you tip on top of that, 368 00:17:47,320 --> 00:17:48,320 Speaker 1: you're tipping twice. 369 00:17:48,560 --> 00:17:51,480 Speaker 2: Yeah, So typically you see that a lot in resort city. 370 00:17:51,600 --> 00:17:53,440 Speaker 2: So if you go on vacation in Florida and you're 371 00:17:53,520 --> 00:17:56,240 Speaker 2: kind of in a resort or beachy area because they 372 00:17:56,240 --> 00:17:58,080 Speaker 2: know a lot of tourists go through there, yes, they 373 00:17:58,119 --> 00:18:01,439 Speaker 2: will add a you know, automatic gratuity added to that. 374 00:18:01,480 --> 00:18:03,080 Speaker 2: And if you're not careful and you. 375 00:18:03,040 --> 00:18:04,720 Speaker 1: Don't see that, you can tip on top of it. 376 00:18:04,760 --> 00:18:06,280 Speaker 2: You can tip on top of it too. But we 377 00:18:06,400 --> 00:18:08,919 Speaker 2: found that in cities that are not typically tourist cities. 378 00:18:09,440 --> 00:18:11,199 Speaker 2: We go to Baltimore a lot, and one of our 379 00:18:11,200 --> 00:18:15,080 Speaker 2: favorite restaurants in Baltimore, I discovered automatically puts a tip 380 00:18:15,080 --> 00:18:15,440 Speaker 2: on there. 381 00:18:15,480 --> 00:18:17,520 Speaker 1: You know why they're doing that so. 382 00:18:17,359 --> 00:18:20,160 Speaker 2: That you'll not notice it and then add an edition 383 00:18:20,160 --> 00:18:20,720 Speaker 2: and how. 384 00:18:20,680 --> 00:18:23,080 Speaker 1: That football stadium with that money. 385 00:18:23,400 --> 00:18:25,359 Speaker 3: That's one option for it. 386 00:18:25,400 --> 00:18:27,440 Speaker 2: They're also hoping that you won't notice it and that 387 00:18:27,560 --> 00:18:29,159 Speaker 2: you'll tip even more on top of it. 388 00:18:29,920 --> 00:18:31,959 Speaker 1: Okay, we have to talk about this. I know you 389 00:18:32,000 --> 00:18:36,240 Speaker 1: don't want to, but it has been all over social media, 390 00:18:36,600 --> 00:18:39,440 Speaker 1: and I figure that when Dana Perino from Fox News 391 00:18:39,440 --> 00:18:42,959 Speaker 1: addresses it, we can too. And I'm talking about Punch 392 00:18:43,400 --> 00:18:46,639 Speaker 1: the Monkey. Have you heard about the monkey? 393 00:18:46,920 --> 00:18:49,080 Speaker 2: I just heard about this in the last twenty four hours, 394 00:18:49,400 --> 00:18:52,520 Speaker 2: So no, you're the expert on Punch the Monkey. 395 00:18:52,720 --> 00:18:56,159 Speaker 1: So this was this little monkey and where is this Japan? 396 00:18:56,440 --> 00:18:59,800 Speaker 1: It happened in Japan, and this little monkey was abandoned 397 00:18:59,840 --> 00:19:03,679 Speaker 1: by his mother shortly after birth, and all of the 398 00:19:03,720 --> 00:19:08,200 Speaker 1: other monkeys were being mean and bullying. Punched the monkey 399 00:19:08,800 --> 00:19:12,159 Speaker 1: and people were taking videos of this became a viral 400 00:19:12,240 --> 00:19:16,760 Speaker 1: hit online. Zoo keepers actually ended up giving Punch the 401 00:19:16,840 --> 00:19:22,359 Speaker 1: Monkey this large stuffed orangutang toy to provide comfort and 402 00:19:22,520 --> 00:19:26,159 Speaker 1: something familiar for Punch the baby monkey to hold on 403 00:19:26,280 --> 00:19:29,040 Speaker 1: to everywhere he goes, and he carries it around. So 404 00:19:29,080 --> 00:19:33,320 Speaker 1: there's been videos and pictures of Punch and his toy 405 00:19:33,560 --> 00:19:38,040 Speaker 1: spread all over social media. Punch has now drawn huge 406 00:19:38,080 --> 00:19:43,520 Speaker 1: crowds at the zoo and now toy stores are selling 407 00:19:44,080 --> 00:19:47,720 Speaker 1: the stuffed orangutang, the. 408 00:19:48,040 --> 00:19:51,119 Speaker 3: Fluffy the toy they gave me punched the monkey. 409 00:19:50,920 --> 00:19:55,080 Speaker 1: Yes, for three hundred and fifty dollars and up so 410 00:19:56,119 --> 00:20:01,120 Speaker 1: Punch with his toy have created this to have stuffed 411 00:20:01,160 --> 00:20:05,560 Speaker 1: animal for everybody else, kind of this symbol of love. 412 00:20:05,960 --> 00:20:08,439 Speaker 1: Don't don't bully the baby monkey. 413 00:20:08,600 --> 00:20:12,199 Speaker 2: This is the saddest story I've ever seen go viral 414 00:20:12,280 --> 00:20:16,600 Speaker 2: on social media. It's animals bullying each other and you 415 00:20:16,640 --> 00:20:18,800 Speaker 2: can't stop watching it. You tried showing it to me, 416 00:20:18,840 --> 00:20:20,639 Speaker 2: and I'm like, I don't want to watch that. That 417 00:20:20,800 --> 00:20:23,480 Speaker 2: is the saddest thing I've ever seen in my entire life. 418 00:20:23,640 --> 00:20:25,280 Speaker 3: Show me some funny cat videos. 419 00:20:25,400 --> 00:20:27,840 Speaker 2: Show me some videos a guy stepping on a rake 420 00:20:27,920 --> 00:20:29,119 Speaker 2: and getting hitting the junk. 421 00:20:29,240 --> 00:20:31,320 Speaker 3: That's funny to me. That's the kind of stuff I 422 00:20:31,440 --> 00:20:31,800 Speaker 3: like on. 423 00:20:31,720 --> 00:20:34,840 Speaker 2: Social media, Not animals bullying other animals. 424 00:20:34,840 --> 00:20:38,120 Speaker 1: So sad I saw the video from Danu Pirno from 425 00:20:38,160 --> 00:20:41,400 Speaker 1: Fox News and she's talking to one of her coworkers 426 00:20:41,440 --> 00:20:43,840 Speaker 1: and she's like, Hey, what's the latest on the news. 427 00:20:44,400 --> 00:20:46,960 Speaker 1: He was like, well, which news are we talking about? 428 00:20:47,000 --> 00:20:48,960 Speaker 1: Iran Mexico? What do you mean? And she's like, no, 429 00:20:49,520 --> 00:20:53,440 Speaker 1: Punch the monkey and he knew. He was like, oh, 430 00:20:53,520 --> 00:20:56,720 Speaker 1: I know, okay, So Punch the Monkey has a happy 431 00:20:56,800 --> 00:21:00,760 Speaker 1: ending though, because now I believe it's after eight weeks. 432 00:21:01,080 --> 00:21:04,480 Speaker 1: I believe Punch is eight weeks old. The other monkeys 433 00:21:04,560 --> 00:21:06,720 Speaker 1: in the in the group there are now being nice 434 00:21:06,760 --> 00:21:08,679 Speaker 1: to him and loving. 435 00:21:08,840 --> 00:21:10,960 Speaker 3: What a lovely story. I'm glad you. 436 00:21:11,080 --> 00:21:13,639 Speaker 2: I'm glad you got a happy ending to this viral 437 00:21:13,720 --> 00:21:16,080 Speaker 2: video content that you've been consuming all week long. 438 00:21:16,200 --> 00:21:19,639 Speaker 1: Punch, it is a global star, Jim, get on board. 439 00:21:19,760 --> 00:21:22,919 Speaker 3: Oh, it's an emotional moment. I support Punch. 440 00:21:23,000 --> 00:21:26,320 Speaker 2: I just don't understand why people want to watch such 441 00:21:26,320 --> 00:21:29,280 Speaker 2: a sad video. And you showed me a part of it, 442 00:21:29,320 --> 00:21:30,720 Speaker 2: and I was like, I don't want to watch that. 443 00:21:31,040 --> 00:21:33,880 Speaker 2: That's like the meanest thing I've ever seen. These other 444 00:21:33,920 --> 00:21:38,520 Speaker 2: monkeys bullying this baby monkey that I just I understand it. 445 00:21:38,680 --> 00:21:41,320 Speaker 2: I look, I'm a simple emotional moment. 446 00:21:41,200 --> 00:21:42,840 Speaker 3: Now, I get it. I'm a Punch supporter. 447 00:21:42,960 --> 00:21:44,920 Speaker 2: I hope that little monkey ends up having a great 448 00:21:45,000 --> 00:21:47,520 Speaker 2: life and it is wonderful, But I don't need to 449 00:21:47,560 --> 00:21:50,399 Speaker 2: see the sad parts of his life on TikTok or 450 00:21:50,400 --> 00:21:53,280 Speaker 2: any other social platform. I'm glad you enjoy it. Though 451 00:21:53,480 --> 00:21:55,160 Speaker 2: you have punch. You watch punch. 452 00:21:55,240 --> 00:21:58,040 Speaker 1: Beest thing ever it is that monkey with his little 453 00:21:58,040 --> 00:21:59,359 Speaker 1: stuffed in you. 454 00:21:59,359 --> 00:22:02,320 Speaker 2: You follow the story, you watched the videos and then 455 00:22:02,400 --> 00:22:04,560 Speaker 2: like like you just told me, tell me when it's 456 00:22:04,560 --> 00:22:05,480 Speaker 2: a happy I think. 457 00:22:05,320 --> 00:22:08,920 Speaker 1: That's all that happens that time. He's now found love, 458 00:22:09,119 --> 00:22:11,320 Speaker 1: so we can all feel better about it. I wantay 459 00:22:11,400 --> 00:22:11,720 Speaker 1: fall and. 460 00:22:11,840 --> 00:22:15,119 Speaker 2: No more animals bullying other animals on social media. 461 00:22:15,280 --> 00:22:22,879 Speaker 1: You're listening to ninety three wibc awome. 462 00:22:24,440 --> 00:22:26,159 Speaker 6: It was super cool as an honor, but you know, 463 00:22:26,160 --> 00:22:28,400 Speaker 6: it really is hearing from the President of the United 464 00:22:28,440 --> 00:22:32,439 Speaker 6: States now hearing that, you know, he was supporting us 465 00:22:32,520 --> 00:22:36,720 Speaker 6: and supporting us and all the other athletes and wanting 466 00:22:36,760 --> 00:22:38,760 Speaker 6: us all to bring on as many gold medals and cancel. 467 00:22:39,040 --> 00:22:40,520 Speaker 3: You were definitely honored to represent it. 468 00:22:40,880 --> 00:22:43,879 Speaker 6: And the millions, hundreds of millions across the country and 469 00:22:43,880 --> 00:22:44,400 Speaker 6: we bring. 470 00:22:44,160 --> 00:22:45,000 Speaker 7: To hold metal Backford. 471 00:22:45,520 --> 00:22:48,359 Speaker 1: So that was US hockey player Matt Chuck on Donald 472 00:22:48,400 --> 00:22:51,239 Speaker 1: Trump calling to give him his support. He said it 473 00:22:51,280 --> 00:22:53,480 Speaker 1: was super cool and it was an honor hearing from 474 00:22:53,520 --> 00:22:55,760 Speaker 1: the President of the United States. You know, if that 475 00:22:55,880 --> 00:22:59,040 Speaker 1: was Joe Biden, he would probably congratulate him for beating 476 00:22:59,040 --> 00:23:01,600 Speaker 1: the Russians at Lake Acid and then offer ice cream. 477 00:23:03,000 --> 00:23:05,800 Speaker 2: Yeah, there's been a lot of controversies and people were 478 00:23:05,800 --> 00:23:08,280 Speaker 2: put off by the fact that Cash Patel was in 479 00:23:08,359 --> 00:23:11,640 Speaker 2: the locker room with them there. Afterwards, of course, Cash 480 00:23:11,680 --> 00:23:13,800 Speaker 2: Betel came out and said he was invited into the 481 00:23:13,840 --> 00:23:15,000 Speaker 2: locker room by the team. 482 00:23:15,440 --> 00:23:17,199 Speaker 3: But that is not unheard of. 483 00:23:17,400 --> 00:23:20,400 Speaker 2: I saw a clip yesterday of the mirracll On ice 484 00:23:20,480 --> 00:23:24,080 Speaker 2: team from nineteen eighty and at the time, Walter Mondale 485 00:23:24,160 --> 00:23:26,960 Speaker 2: was vice president and he was in the locker room 486 00:23:27,040 --> 00:23:29,840 Speaker 2: with the team afterwards, so it is it is not 487 00:23:30,080 --> 00:23:33,280 Speaker 2: uncommon situation. Yeah, there's some precedent here. So if you 488 00:23:33,359 --> 00:23:35,840 Speaker 2: got your you know, all your panties in a wad, 489 00:23:35,880 --> 00:23:38,360 Speaker 2: because Cash Patel was in the locker room with the 490 00:23:38,480 --> 00:23:42,520 Speaker 2: US hockey team yesterday, there is precedent for this happening before, 491 00:23:43,119 --> 00:23:44,840 Speaker 2: just like in nineteen eighty in Lake Placidy. 492 00:23:44,960 --> 00:23:46,959 Speaker 1: Isn't that what you want to see from your athletes though, 493 00:23:47,040 --> 00:23:48,440 Speaker 1: being proud of their country. 494 00:23:48,520 --> 00:23:49,440 Speaker 3: Oh that was the best. 495 00:23:49,480 --> 00:23:52,600 Speaker 2: I mean that the postgame interviews with those guys, especially 496 00:23:52,600 --> 00:23:55,400 Speaker 2: the one with the guy that scored the game winning goal. 497 00:23:55,560 --> 00:23:57,000 Speaker 3: I mean the game. 498 00:23:56,800 --> 00:23:59,880 Speaker 2: Had just ended five minutes before he gets off the ice. 499 00:24:00,000 --> 00:24:02,880 Speaker 2: There's a microphone in his face and all he says is, man, 500 00:24:02,960 --> 00:24:04,720 Speaker 2: I love my country and I'm plowed to proud to 501 00:24:04,720 --> 00:24:07,240 Speaker 2: be an American. I love my teammates, and we did 502 00:24:07,240 --> 00:24:08,080 Speaker 2: this for the USA. 503 00:24:08,200 --> 00:24:08,760 Speaker 3: It was awesome. 504 00:24:09,280 --> 00:24:11,479 Speaker 1: So you've got the US men's hockey team that were 505 00:24:11,560 --> 00:24:14,240 Speaker 1: invited to the State of the Union address, which will 506 00:24:14,280 --> 00:24:18,879 Speaker 1: happen tonight, and some news just came out the Democrats 507 00:24:18,960 --> 00:24:23,000 Speaker 1: are changing their plan rather than skipping the event altogether. 508 00:24:23,400 --> 00:24:24,920 Speaker 1: What they're going to be normal. 509 00:24:24,800 --> 00:24:26,840 Speaker 2: Well, well let's not go that far, but yes, there 510 00:24:26,920 --> 00:24:32,000 Speaker 2: is some breaking news. So for context on this, if 511 00:24:32,040 --> 00:24:35,520 Speaker 2: you remember Donald Trump's addressed to Congress last year, the 512 00:24:35,560 --> 00:24:39,160 Speaker 2: Democrats brought a bunch of homemade signs and held them up, 513 00:24:39,200 --> 00:24:43,200 Speaker 2: and the Democrats, rightly so got destroyed in the media 514 00:24:43,240 --> 00:24:45,320 Speaker 2: and on social media for looking like a bunch of 515 00:24:45,400 --> 00:24:48,520 Speaker 2: idiots on that. So despite the fact that some Democrats 516 00:24:48,640 --> 00:24:51,840 Speaker 2: are boycotting tonight, the Democrats that are going have come 517 00:24:51,840 --> 00:24:54,720 Speaker 2: out and said that there will be no signs tonight, 518 00:24:55,160 --> 00:24:57,880 Speaker 2: And in fact Pete Aguilar, who is the House Democrat 519 00:24:57,880 --> 00:25:00,800 Speaker 2: Caucus chair, said I'm not a big fan one of signs. 520 00:25:01,240 --> 00:25:04,360 Speaker 2: Greg Caesar, Democrat House member from Texas said, I think 521 00:25:04,400 --> 00:25:06,480 Speaker 2: a lot of us agree that a lot of things 522 00:25:06,520 --> 00:25:08,800 Speaker 2: we did last year didn't break through. 523 00:25:09,040 --> 00:25:12,600 Speaker 3: Well that's being kind. Yeah, didn't break through. No, made 524 00:25:12,680 --> 00:25:14,919 Speaker 3: you look like a bunch of idiots. It made you 525 00:25:14,960 --> 00:25:15,560 Speaker 3: look like a. 526 00:25:15,520 --> 00:25:21,080 Speaker 2: Bunch of unserious, virtue signaling performative politicians. And you got 527 00:25:21,280 --> 00:25:25,000 Speaker 2: roasted everywhere for your actions last year. So at least 528 00:25:25,000 --> 00:25:26,960 Speaker 2: they've got a couple of brain cells to rub together 529 00:25:27,000 --> 00:25:29,280 Speaker 2: and aren't going to repeat that disaster of twenty twenty five. 530 00:25:29,440 --> 00:25:30,760 Speaker 1: A little bit of self awareness. 531 00:25:30,800 --> 00:25:34,320 Speaker 2: Perhaps shocking from the Democrat Party, are shocking from any politician, 532 00:25:34,400 --> 00:25:37,400 Speaker 2: to be fair, But yeah, those signs last year were 533 00:25:37,520 --> 00:25:41,320 Speaker 2: such a disaster, and they're smart enough to not repeat that. 534 00:25:41,640 --> 00:25:43,200 Speaker 1: Not going to do it this year. So you've got 535 00:25:43,240 --> 00:25:46,720 Speaker 1: old political ties that can come back with a bang, 536 00:25:47,040 --> 00:25:51,480 Speaker 1: and especially if your old political ties name is Jeffrey Epstein. 537 00:25:51,800 --> 00:25:54,719 Speaker 1: So you've got Peter Mandelson, who is a former senior 538 00:25:54,920 --> 00:25:58,840 Speaker 1: Labor Party minister and ex ambassador to the United States. 539 00:25:59,320 --> 00:26:03,719 Speaker 1: He was arrested yesterday. He is being held on suspicion 540 00:26:03,840 --> 00:26:08,200 Speaker 1: of misconduct and public office, and he was later released 541 00:26:08,200 --> 00:26:10,399 Speaker 1: on bail pending further investigation. 542 00:26:10,520 --> 00:26:11,280 Speaker 3: Yeah, now this is. 543 00:26:11,240 --> 00:26:15,159 Speaker 2: The former ambassador from the UK to the United States 544 00:26:15,600 --> 00:26:16,479 Speaker 2: being he was arrested. 545 00:26:16,520 --> 00:26:18,160 Speaker 3: Of course, we had the big story earlier this. 546 00:26:18,080 --> 00:26:22,520 Speaker 2: Week where Prince Andrew was arrested, and there's this narrative 547 00:26:22,520 --> 00:26:24,679 Speaker 2: out there in the media that, hey, look at the 548 00:26:24,800 --> 00:26:28,600 Speaker 2: United Kingdom, they're holding you know, their leaders that were 549 00:26:28,600 --> 00:26:31,119 Speaker 2: part of the Epstein files accountable. Why can't we do 550 00:26:31,200 --> 00:26:33,480 Speaker 2: this here in the United States. Well, here's the truth 551 00:26:33,520 --> 00:26:37,480 Speaker 2: about that, and those two, both Mandelson and Prince Andrew, 552 00:26:37,880 --> 00:26:41,960 Speaker 2: weren't arrested for anything associated with sex crimes or underage girls. 553 00:26:41,960 --> 00:26:44,320 Speaker 2: That had nothing to do with their arrests. What was 554 00:26:44,440 --> 00:26:47,360 Speaker 2: found in the Epstein documents is that both of them 555 00:26:47,800 --> 00:26:53,760 Speaker 2: shared classified British intelligence with Jeffrey Epstein. That's why they're 556 00:26:53,800 --> 00:26:56,040 Speaker 2: being arrested. Supposed to do that, you're not supposed to 557 00:26:56,119 --> 00:26:57,760 Speaker 2: do that. So I guarantee you that if it turned 558 00:26:57,760 --> 00:27:01,080 Speaker 2: out that in the Epstein files, if American leaders, either 559 00:27:01,119 --> 00:27:05,400 Speaker 2: politicians or business leaders, we're sharing classified information with Jeffrey Epstein, 560 00:27:06,080 --> 00:27:08,520 Speaker 2: I'm sure they'd be arrested for that as well. And again, 561 00:27:08,680 --> 00:27:11,680 Speaker 2: the problem with the Epstein files up until this point 562 00:27:12,000 --> 00:27:16,080 Speaker 2: is all of that information, for the most part is circumstantial, 563 00:27:16,119 --> 00:27:18,120 Speaker 2: and if you talk to any legal expert, the vast 564 00:27:18,200 --> 00:27:20,720 Speaker 2: majority of it is hearsay and wouldn't stand up at 565 00:27:20,760 --> 00:27:21,360 Speaker 2: a quarter of laws. 566 00:27:21,359 --> 00:27:23,200 Speaker 3: So yeah, kind to be careful when you hear. 567 00:27:23,080 --> 00:27:26,200 Speaker 2: These narratives without drilling down and finding out the real 568 00:27:26,200 --> 00:27:27,280 Speaker 2: information in the facts. 569 00:27:27,359 --> 00:27:31,560 Speaker 1: Yeah, you just can't pass the sensitive government information, especially 570 00:27:31,600 --> 00:27:34,159 Speaker 1: not just somebody like Jeffrey Epstein. So you've got the 571 00:27:34,280 --> 00:27:38,200 Speaker 1: former advisor to Margaret Thatcher. His name is Nile Gardner, 572 00:27:38,640 --> 00:27:41,320 Speaker 1: and he said this could take down Kure Starmer. 573 00:27:41,880 --> 00:27:46,280 Speaker 8: Sir, I think a hugely significant news from London. Lord 574 00:27:46,320 --> 00:27:50,439 Speaker 8: Madison coursells Kir Starmer's ambassador to Washington, and he was 575 00:27:50,440 --> 00:27:52,879 Speaker 8: put in place by Kure Starmer, I think in large 576 00:27:52,880 --> 00:27:56,080 Speaker 8: part to sell what it's known in the UK as 577 00:27:56,119 --> 00:27:59,720 Speaker 8: the Chagos Surrendered deal, to try and sell that deal 578 00:27:59,720 --> 00:28:02,880 Speaker 8: to the United States. Forty present. Trump intervened last week 579 00:28:02,960 --> 00:28:08,000 Speaker 8: to condemn the Chabel's deal. But Lord Manderson, really I 580 00:28:08,040 --> 00:28:11,639 Speaker 8: think that his his arrest today in London this is 581 00:28:11,680 --> 00:28:15,439 Speaker 8: big enough ultimately to bring down the British Prime Minister. 582 00:28:15,520 --> 00:28:17,400 Speaker 8: I mean, this is a this is a massive scandal. 583 00:28:18,080 --> 00:28:23,800 Speaker 8: Cure Starmer personally, of course, intervened to have Manderson as 584 00:28:23,800 --> 00:28:29,600 Speaker 8: a British ambassador to Washington. Starmer has faced intense questioning, 585 00:28:29,600 --> 00:28:32,200 Speaker 8: of course, in the in House of Commons in Parliament. 586 00:28:32,560 --> 00:28:34,840 Speaker 8: In recent weeks there are growing calls to him to 587 00:28:35,080 --> 00:28:39,040 Speaker 8: resign over this this scandal. The charges against Lord Manderson 588 00:28:39,120 --> 00:28:44,720 Speaker 8: are extremely serious, basically passing on confidential British governments to 589 00:28:45,680 --> 00:28:49,600 Speaker 8: government documents to Jeffrey Epstein when Madison was Business Secretary. 590 00:28:50,200 --> 00:28:52,520 Speaker 8: And so this is very high stakes. I expect that 591 00:28:52,600 --> 00:28:54,880 Speaker 8: we're going to see the downfall of the British Prime 592 00:28:54,880 --> 00:28:57,960 Speaker 8: Minister as a result of this in the coming weeks, 593 00:28:57,960 --> 00:28:59,520 Speaker 8: even potentially in the next few days. 594 00:28:59,680 --> 00:29:02,480 Speaker 1: That is guilt by association. I mean the guy put 595 00:29:02,520 --> 00:29:05,320 Speaker 1: him in that position and then he turned and did 596 00:29:05,600 --> 00:29:08,800 Speaker 1: horrible things in office, and now he's being held accountable. 597 00:29:09,040 --> 00:29:12,480 Speaker 1: Accountability matters at all levels. It doesn't matter how senior 598 00:29:13,040 --> 00:29:16,520 Speaker 1: somebody is in politics. If there's evidence that they misuse 599 00:29:16,600 --> 00:29:20,920 Speaker 1: public office or shared that confidential information, law enforcement is 600 00:29:21,000 --> 00:29:23,280 Speaker 1: going to investigate and hold them to account. 601 00:29:23,360 --> 00:29:26,480 Speaker 2: Yeah, and here Starmer's I'll make a prediction right now. 602 00:29:26,480 --> 00:29:28,400 Speaker 2: We need like a whiteboard in this studio where I 603 00:29:28,400 --> 00:29:30,680 Speaker 2: can write predictions on there. See if they come true, 604 00:29:30,760 --> 00:29:32,440 Speaker 2: Keir Starmer's not going to make it out of twenty 605 00:29:32,440 --> 00:29:34,800 Speaker 2: twenty six as the Prime Minister of the United Kingdom. 606 00:29:34,840 --> 00:29:38,240 Speaker 2: You've had Prince Andrew arrested. You've got the former ambassador 607 00:29:38,240 --> 00:29:40,280 Speaker 2: from the UK to the US that's now been arrested 608 00:29:40,280 --> 00:29:45,280 Speaker 2: this morning, a person that here Starmer knew had these 609 00:29:45,360 --> 00:29:48,640 Speaker 2: ties with Jeffrey Epstein and put him in that made 610 00:29:48,720 --> 00:29:52,040 Speaker 2: any ambassador to the US in anyway. Here Starmer's chief 611 00:29:52,080 --> 00:29:55,560 Speaker 2: of staff has resigned. Here Starmer's head of communications has resigned. 612 00:29:55,760 --> 00:29:58,120 Speaker 2: I think that this scandal for the Brits just keeps 613 00:29:58,200 --> 00:30:01,200 Speaker 2: growing and growing, and I don't see anyway that Keir 614 00:30:01,320 --> 00:30:03,960 Speaker 2: Starmer makes it out of twenty twenty six as Prime 615 00:30:03,960 --> 00:30:05,600 Speaker 2: Minister of the United Kingdom. 616 00:30:05,760 --> 00:30:09,520 Speaker 1: So there has been a one million dollar reward that 617 00:30:09,560 --> 00:30:12,880 Speaker 1: has been upped in the search for Nancy Guthrie. Savannah 618 00:30:12,880 --> 00:30:16,160 Speaker 1: Guthrie announced on Instagram this morning that her family is 619 00:30:16,200 --> 00:30:19,640 Speaker 1: offering up to a million dollars for any information that 620 00:30:19,760 --> 00:30:23,120 Speaker 1: leads to the recovery of her eighty four year old mother. 621 00:30:24,000 --> 00:30:26,880 Speaker 1: My question is, why didn't they start with that amount. 622 00:30:26,920 --> 00:30:31,000 Speaker 1: I mean, clearly Savannah Guthrie and her husband have the money. 623 00:30:31,800 --> 00:30:35,400 Speaker 1: It seems like, I don't know, to me, like you 624 00:30:35,400 --> 00:30:36,400 Speaker 1: should have started there. 625 00:30:36,720 --> 00:30:39,320 Speaker 2: Yeah, And I remember, do you remember with the inertial 626 00:30:39,600 --> 00:30:42,320 Speaker 2: half of that, do you remember what the initial reward 627 00:30:42,360 --> 00:30:43,480 Speaker 2: amount was when this was a. 628 00:30:43,600 --> 00:30:45,760 Speaker 3: One hundred or fifty fifty thousand dollars? 629 00:30:45,760 --> 00:30:47,560 Speaker 2: And I remember seeing that at the timing, going wow, 630 00:30:47,680 --> 00:30:49,920 Speaker 2: it's kind of low. That seems that seems a little low, 631 00:30:50,080 --> 00:30:52,640 Speaker 2: and so and then they upped it to one hundred thousand. 632 00:30:52,240 --> 00:30:53,840 Speaker 3: Dollars and yeah, then two hundred. 633 00:30:53,920 --> 00:30:56,960 Speaker 2: Yeah, just happened this morning that Savannah Guthrie posted a 634 00:30:56,960 --> 00:31:00,760 Speaker 2: new video and is personally offering award reward of up 635 00:31:00,800 --> 00:31:03,320 Speaker 2: to a million dollars. I'm going to take a guess 636 00:31:03,320 --> 00:31:07,600 Speaker 2: here and say that they are following the FBI's guidelines 637 00:31:07,640 --> 00:31:09,520 Speaker 2: on this on what to do. My guess is is 638 00:31:09,560 --> 00:31:13,720 Speaker 2: that that is a negotiation strategy that the FBI, who 639 00:31:13,760 --> 00:31:16,560 Speaker 2: has a ton of experience in this area, and they're 640 00:31:16,600 --> 00:31:21,000 Speaker 2: probably directing them on reward dollar amounts. 641 00:31:21,000 --> 00:31:21,840 Speaker 3: But it does seem odd. 642 00:31:21,880 --> 00:31:24,560 Speaker 2: It just this whole shots started a little higher. It 643 00:31:24,600 --> 00:31:27,840 Speaker 2: just seems it seems like it seemed odd from the 644 00:31:27,920 --> 00:31:28,480 Speaker 2: very beginning. 645 00:31:29,160 --> 00:31:31,960 Speaker 1: It's like they're trying to shine a light not only 646 00:31:32,000 --> 00:31:34,920 Speaker 1: on the case, but also on the pain that that 647 00:31:35,000 --> 00:31:36,160 Speaker 1: family is feeling. 648 00:31:36,240 --> 00:31:38,360 Speaker 3: Right now, yeah, that's part of it. 649 00:31:38,440 --> 00:31:41,160 Speaker 2: But what you're really looking for, here's where you're really 650 00:31:41,200 --> 00:31:43,560 Speaker 2: looking for from a reward, because if I committed the crime, 651 00:31:43,600 --> 00:31:44,840 Speaker 2: if I was the one that went in there and 652 00:31:44,880 --> 00:31:48,920 Speaker 2: kidnapped Nancy Guthrie, I'm not going to get the reward money. 653 00:31:49,000 --> 00:31:51,840 Speaker 2: But what you're looking for is somebody close to the 654 00:31:51,880 --> 00:31:56,240 Speaker 2: perpetrator who has ties and has knowledge of the perpetrator. 655 00:31:56,600 --> 00:31:58,880 Speaker 2: You're trying to get them to flip on that perfetrat. 656 00:31:59,240 --> 00:32:01,719 Speaker 2: And so you're going to flip on somebody, somebody who, 657 00:32:01,800 --> 00:32:04,280 Speaker 2: by the way, is pretty dangerous and't afraid to kidnap 658 00:32:04,360 --> 00:32:06,120 Speaker 2: other people? Are you going to flip on them? For 659 00:32:06,120 --> 00:32:07,920 Speaker 2: fifty grand or even one hundred grand? 660 00:32:08,480 --> 00:32:09,880 Speaker 1: Now a lot hard million dollars? 661 00:32:09,880 --> 00:32:13,280 Speaker 2: Okay, Now you're talking to million dollars. That's life changing money, 662 00:32:13,320 --> 00:32:15,760 Speaker 2: or getting toward the area of life changing money. 663 00:32:15,800 --> 00:32:16,240 Speaker 3: Okay. 664 00:32:16,480 --> 00:32:18,120 Speaker 2: Now we're at a point where I can see a 665 00:32:18,160 --> 00:32:21,400 Speaker 2: close confidant of the person that perpetrated this getting to 666 00:32:21,400 --> 00:32:23,680 Speaker 2: the point where they say, Okay, now I'm going to 667 00:32:23,720 --> 00:32:25,960 Speaker 2: flip on that person because now I can change my 668 00:32:26,040 --> 00:32:27,440 Speaker 2: life with a million dollar reward. 669 00:32:27,720 --> 00:32:32,720 Speaker 1: There was a new study. This guy, he's a neuroscientist, 670 00:32:33,160 --> 00:32:37,120 Speaker 1: doctor Horvoff. He testified to the US Senate Committee that 671 00:32:37,280 --> 00:32:41,160 Speaker 1: gen Z, people born between nineteen ninety seven and twenty ten, 672 00:32:41,880 --> 00:32:46,240 Speaker 1: aren't as smart as previous generations. He called gen Z 673 00:32:46,440 --> 00:32:50,400 Speaker 1: the first generation of modern history to show the kind 674 00:32:50,440 --> 00:32:54,080 Speaker 1: of decline compared to their parents' generation. They have scored 675 00:32:54,160 --> 00:33:00,239 Speaker 1: lower on standardized tests than previous generations. And I'm going 676 00:33:00,280 --> 00:33:04,040 Speaker 1: to say that's because of technology. And that's where I'm 677 00:33:04,080 --> 00:33:05,920 Speaker 1: sure if you've got the answer your figure tips, you 678 00:33:05,920 --> 00:33:07,560 Speaker 1: don't have to memorize it, you don't have to know 679 00:33:07,640 --> 00:33:09,080 Speaker 1: that information. It's all right there. 680 00:33:09,160 --> 00:33:10,680 Speaker 2: You can look it up and look, I'm sure that's 681 00:33:10,680 --> 00:33:13,040 Speaker 2: where everybody's mind goes. Well, all these kids got their 682 00:33:13,040 --> 00:33:14,920 Speaker 2: phones in their pockets and they're spending too much time 683 00:33:14,960 --> 00:33:15,920 Speaker 2: on that and messing around with that. 684 00:33:16,040 --> 00:33:17,560 Speaker 3: I'll give you a counterpoint to that. 685 00:33:17,560 --> 00:33:20,200 Speaker 2: Which is going to actually be the real source of 686 00:33:20,240 --> 00:33:23,240 Speaker 2: the vast majority of this this data and this information. 687 00:33:23,480 --> 00:33:24,640 Speaker 3: It's the COVID lockdowns. 688 00:33:25,120 --> 00:33:27,760 Speaker 2: And we know for a fact that when our kids 689 00:33:27,800 --> 00:33:30,200 Speaker 2: didn't go to school for a year, and sometimes in 690 00:33:30,240 --> 00:33:32,560 Speaker 2: certain states a year and a half to two years 691 00:33:32,640 --> 00:33:35,640 Speaker 2: and they were forced into remote learning. There's been very 692 00:33:35,680 --> 00:33:40,360 Speaker 2: clear data on that, specifically on how it has led 693 00:33:40,400 --> 00:33:43,600 Speaker 2: to reduced math scores, reduced reading scores. We just got 694 00:33:43,680 --> 00:33:45,960 Speaker 2: we had a whole generation of kids in gen Z 695 00:33:46,400 --> 00:33:50,840 Speaker 2: that we just absolutely crushed their entire educational process by 696 00:33:51,200 --> 00:33:54,600 Speaker 2: forcing those schools to close down. And we've got nobody 697 00:33:54,600 --> 00:33:58,640 Speaker 2: to blame but our culture and the people that were 698 00:33:58,720 --> 00:34:02,160 Speaker 2: running our country at the time. And that is going 699 00:34:02,200 --> 00:34:06,080 Speaker 2: to be one of the most lasting damaging effects of COVID. 700 00:34:06,240 --> 00:34:08,480 Speaker 2: What we did to our school age children by locking 701 00:34:08,520 --> 00:34:10,480 Speaker 2: down those schools for two years awful. 702 00:34:10,840 --> 00:34:18,080 Speaker 1: It's ninety three WYBC. So skipping sleep for work or 703 00:34:18,080 --> 00:34:21,800 Speaker 1: stress could be hurting more than your energy. Oh, it 704 00:34:21,880 --> 00:34:24,560 Speaker 1: could be hurting your heart. There was a new study 705 00:34:24,560 --> 00:34:28,120 Speaker 1: that came out and it says that working age adults 706 00:34:28,280 --> 00:34:32,439 Speaker 1: who are getting less sleep than they should are at 707 00:34:32,600 --> 00:34:37,359 Speaker 1: serious risk for a fib atrial fibrillation, which is a 708 00:34:37,400 --> 00:34:40,720 Speaker 1: heart rhythm disorder that can raise your risk of stroke 709 00:34:40,920 --> 00:34:44,080 Speaker 1: and other problems. You need to be getting more than 710 00:34:44,200 --> 00:34:46,239 Speaker 1: six hours of sleep per night. 711 00:34:46,520 --> 00:34:48,439 Speaker 2: Sounds like I can get a doctor's note for something 712 00:34:48,480 --> 00:34:50,319 Speaker 2: like this, Hey, doc, can I get a work note 713 00:34:50,320 --> 00:34:52,120 Speaker 2: that says I can't come in until ten o'clock in 714 00:34:52,120 --> 00:34:54,440 Speaker 2: the morning because I got to get enough sleep so 715 00:34:54,480 --> 00:34:55,719 Speaker 2: I don't get this heart disorder. 716 00:34:55,960 --> 00:34:59,960 Speaker 1: It's you know, we often brag about surviving on little sleep. 717 00:35:00,080 --> 00:35:02,080 Speaker 1: Oh man, yeah, I only got two hours sleep three 718 00:35:02,080 --> 00:35:06,439 Speaker 1: hours sleep last night, But that's actually not good for you, 719 00:35:06,600 --> 00:35:10,440 Speaker 1: and it's quietly contributing to some serious health problems. 720 00:35:10,480 --> 00:35:13,880 Speaker 2: Well, we know through many stories, this isn't the first 721 00:35:13,880 --> 00:35:16,480 Speaker 2: one that we are certainly a sleep deprived country. In fact, 722 00:35:16,480 --> 00:35:19,440 Speaker 2: we had that story last week about people taking sleep 723 00:35:19,560 --> 00:35:22,759 Speaker 2: cations where you go away to a hotel where your 724 00:35:22,760 --> 00:35:25,920 Speaker 2: whole purpose of the trip is to get some sleep, 725 00:35:25,960 --> 00:35:28,480 Speaker 2: and they have things like pillow menus where you can 726 00:35:28,600 --> 00:35:31,160 Speaker 2: order whichever type of pillow you want off of menu 727 00:35:31,239 --> 00:35:34,600 Speaker 2: of options. I think this is finally some hard and 728 00:35:34,680 --> 00:35:37,440 Speaker 2: firm data that talks about how dangerous it is to 729 00:35:37,440 --> 00:35:38,719 Speaker 2: not get enough sleep every night. 730 00:35:38,960 --> 00:35:44,920 Speaker 1: So research showed that shorter sleep durations, especially six hours 731 00:35:45,000 --> 00:35:48,800 Speaker 1: or less per night, were associated with is AFIB compared 732 00:35:48,840 --> 00:35:52,840 Speaker 1: to people who got more sleep, And of course that 733 00:35:53,000 --> 00:35:57,600 Speaker 1: suggests that chronic sleep loss is tied to poor health. 734 00:35:57,800 --> 00:36:01,640 Speaker 1: But it's not just you know, you're busy schedules, your stress. 735 00:36:01,719 --> 00:36:04,439 Speaker 1: You lay there at night with the wheel spinning, and 736 00:36:04,680 --> 00:36:07,839 Speaker 1: you're thinking that it's affecting your mental health. Guess what, 737 00:36:08,400 --> 00:36:10,960 Speaker 1: it's also affecting your physical health. 738 00:36:11,000 --> 00:36:11,759 Speaker 3: All right, new thing. 739 00:36:11,840 --> 00:36:15,560 Speaker 2: Right now, we're started this week eight hours of sleep 740 00:36:15,600 --> 00:36:16,040 Speaker 2: every night. 741 00:36:16,080 --> 00:36:18,200 Speaker 3: Do you think we can pull that off? No, it's 742 00:36:18,280 --> 00:36:20,719 Speaker 3: how hard can it be? Come on, we pull that off. 743 00:36:21,160 --> 00:36:23,040 Speaker 2: Look, if you get up at six o'clock in the morning, 744 00:36:23,080 --> 00:36:24,359 Speaker 2: that just means you got to get to bed by 745 00:36:24,360 --> 00:36:26,920 Speaker 2: ten o'clock at night. Well, we can't start tonight for 746 00:36:27,040 --> 00:36:28,799 Speaker 2: that because we know Donald Trump is going to have 747 00:36:28,840 --> 00:36:30,879 Speaker 2: a long State of the Union speech tonight that I'm 748 00:36:30,880 --> 00:36:33,640 Speaker 2: predicting will run close to midnight before. 749 00:36:33,360 --> 00:36:36,799 Speaker 1: It's all over in place, And already it's right out 750 00:36:36,800 --> 00:36:37,240 Speaker 1: the window. 751 00:36:37,280 --> 00:36:40,040 Speaker 3: And you know who I can blame for it, Donald trop. 752 00:36:40,320 --> 00:36:43,160 Speaker 1: Boy, blaming the government for all of your problems. 753 00:36:43,160 --> 00:36:44,200 Speaker 3: The are you ridiculous? 754 00:36:44,280 --> 00:36:48,600 Speaker 1: Yeah? So this happened yesterday, and it happened after we 755 00:36:48,680 --> 00:36:50,439 Speaker 1: got off the air, so we wanted to make sure 756 00:36:50,480 --> 00:36:54,400 Speaker 1: that we mentioned this. You had Officer Brian Elliott's funeral 757 00:36:54,480 --> 00:36:57,280 Speaker 1: service that was held yesterday at Beech Grove High School. 758 00:36:57,520 --> 00:37:01,960 Speaker 1: Hundreds of friends and family and law enforcement and community 759 00:37:01,960 --> 00:37:05,280 Speaker 1: members were in attendance to honor his life and service. 760 00:37:05,840 --> 00:37:11,000 Speaker 1: The service celebrated his dedication, humor, community commitment, and the 761 00:37:11,080 --> 00:37:13,719 Speaker 1: fact that he served in the city where he grew 762 00:37:13,840 --> 00:37:17,760 Speaker 1: up and he graduated. So as we close out today, 763 00:37:18,239 --> 00:37:21,319 Speaker 1: I thought it might be appropriate to play the ten 764 00:37:21,480 --> 00:37:25,719 Speaker 1: forty two call, which happened outside of the police department. 765 00:37:25,880 --> 00:37:30,520 Speaker 1: That is the radio radio call signaling an officer's end 766 00:37:30,520 --> 00:37:33,879 Speaker 1: of service. Thank you Jim, thank you Kevin, and thank 767 00:37:33,920 --> 00:37:36,400 Speaker 1: you Officer Brian Elliott. 768 00:37:36,400 --> 00:37:48,040 Speaker 7: Betro fifty nine, Betro fifty nine, Betro fifty nine Officer 769 00:37:48,080 --> 00:37:55,720 Speaker 7: Brian Elliott. On February sixteenth, twenty twenty six, Officer Brian 770 00:37:55,760 --> 00:37:59,120 Speaker 7: Elliott of the Betro Police Department answered his final call. 771 00:38:00,080 --> 00:38:05,400 Speaker 7: While investigating a disturbance, Officer Elliott was fatally shot. There 772 00:38:05,440 --> 00:38:07,680 Speaker 7: is no greater love than a man that would lay 773 00:38:07,719 --> 00:38:12,240 Speaker 7: down their life for another. Beetro Police Department Officer Brian 774 00:38:12,239 --> 00:38:16,319 Speaker 7: Elliott Beetro fifty nine is ten forty two. He has 775 00:38:16,360 --> 00:38:17,800 Speaker 7: gone home for the final time.